An Evolutionary Perspective of Software Engineering Research Through Co-Word Analysis.

Coulter, Neal S.; Monarch, Ira; Konda, Suresh; Carr, Marvin J.

doi:10.21236/ada310305

Cited by 13 publications

(16 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The other two journals are, as indicated by their titles, concerned with concurrent or parallel and distributed computing. Although this subspecialty is relevant to software engineering, it does not appear to be central to the discipline (see Coulter, Monarch, Konda, & Carr, 1996, for similar evidence from a co-word analysis).…”

Section: Cocitation Data Gathering and Core List Revisionmentioning

confidence: 99%

“…Examination of classification terms, such as headings or descriptors, is an established method for structural analysis of a knowledge domain (Coulter et al, 1996;Engelsman & van Raan, 1994;Healey, Rothman, & Hoch, 1986;Hinze, 1994;McCain, 1995aMcCain, , 1995bTodorov & Winterhager, 1990). The assignment of indexing terms represents the subject analyst's view of the subject content rather than the author's view, as expressed in word and citation choice.…”

Section: Gathering Subject Profile Datamentioning

confidence: 99%

“…Similarly, Coulter, Monarch, and Konda (1996) concluded, from their co-word generated network analysis of descriptors, that software engineering "is emerging as a discipline in computing rooted in computer science but with its own character and content" (p. 50). In their research, software engineering's intersection with the rest of computing was found primarily in the topic areas of user interaction, software management, and programming methodology.…”

Section: Software Engineering As a Coherent Interdisciplinary Fieldmentioning

confidence: 99%

“…Buckley (1993) and others call for the development of standards and certification in software engineering, which would include defining the professional field, identifying the necessary technical expertise, and defining entry-level requirements. Coulter et al (1996) defined software engineering as a young discipline, based on its lack of such standards and certification, as well as a codes of ethics. We expect that as the discipline matures, concern about such topics will manifest itself in the literature.…”

Section: Further Researchmentioning

confidence: 99%

See 3 more Smart Citations

Contrasting views of software engineering journals: Author cocitation choices and indexer vocabulary assignments

Marion

McCain

2001

J. Am. Soc. Inf. Sci.

View full text Add to dashboard Cite

Section: Cocitation Data Gathering and Core List Revisionmentioning

confidence: 99%

Section: Gathering Subject Profile Datamentioning

confidence: 99%

Section: Software Engineering As a Coherent Interdisciplinary Fieldmentioning

confidence: 99%

Section: Further Researchmentioning

confidence: 99%

See 2 more Smart Citations

Contrasting views of software engineering journals: Author cocitation choices and indexer vocabulary assignments

Marion

McCain

2001

J. Am. Soc. Inf. Sci.

View full text Add to dashboard Cite

“…The size and complexity of documents and Bboard messages were measured in terms of number of words and number of unique noun phrases. Noun phrases were counted using off-the-shelf natural language processing tools [7].…”

Section: Modelsmentioning

confidence: 99%

Communication metrics for software development

Bruegge

Dutoit

1997

Proceedings of the 19th International Conference on Software Engineering - ICSE '97

View full text Add to dashboard Cite

ABSTRACTtWe present empirical evidence that metrics on communication artifacts generated by groupware tools can be used to gain significant insight into the development process that produced them. We describe a testbed for developing and testing communication metrics, a senior level software engineering project course at Carnegie Mellon University, in which we conducted several studies and experiments from 1991 to 1996 with more than 300 participants. Such a testbed is an ideal environment for empirical software engineering, providing sufficient realism while allowing for controlled observation of important project parameters. We illustrate the value of communication metrics with three proof-of-concept experiments and propose a statistical framework based on structural equations for validating communication metrics.

show abstract

Software engineering as seen through its research literature: A study in co-word analysis

Coulter

Monarch

Konda

1998

J. Am. Soc. Inf. Sci.

340

161

View full text Add to dashboard Cite

This empirical research demonstrates the effectiveness of content analysis to map the research literature of the software engineering discipline. The results suggest that certain research themes in software engineering have remained constant, but with changing thrusts. Other themes have arisen, matured, and then faded as major research topics, while still others seem transient or immature. Co‐word analysis is the specific technique used. This methodology identifies associations among publication descriptors (indexing terms) from the ACM Computing Classification System and produces networks of descriptors that reveal these underlying patterns. This methodology is applicable to other domains with a supporting corpus of textual data. While this study utilizes index terms from a fixed taxonomy, that restriction is not inherent; the descriptors can be generated from the corpus. Hence, co‐word analysis and the supporting software tools employed here can provide unique insights into any discipline's evolution.

show abstract

An Evolutionary Perspective of Software Engineering Research Through Co-Word Analysis.

Cited by 13 publications

References 22 publications

Contrasting views of software engineering journals: Author cocitation choices and indexer vocabulary assignments

Contrasting views of software engineering journals: Author cocitation choices and indexer vocabulary assignments

Communication metrics for software development

Software engineering as seen through its research literature: A study in co-word analysis

Contact Info

Product

Resources

About